Triple
T7332375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Keenan |
E169033
|
entity |
| Predicate | coachingReputation |
P29237
|
FINISHED |
| Object | hard-driving |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: hard-driving | Statement: [Mike Keenan, coachingReputation, hard-driving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachingReputation Context triple: [Mike Keenan, coachingReputation, hard-driving]
-
A.
coachingRecordType
Indicates the specific category or nature of a coaching record associated with an entity or event.
-
B.
coachingSpecialty
Indicates that a coach focuses on or is specialized in a particular area, topic, or type of coaching.
-
C.
basedInAsCoach
Indicates that a person holds a coaching position for an organization or team that is located in a specified place.
-
D.
coachingEra
Indicates the time period during which a particular coach is in charge of a team or individual.
-
E.
coachingTrait
chosen
Indicates that one entity possesses a characteristic, style, or quality specifically related to coaching.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:03 p.m.